Data Scientist

Leading a team of data scientists with roadmap and vision. Planning data projects. Building analytic systems and predictive models. Managing a team of data scientists, and machine learning engineers. Involve in pre-sales and building proposals. Apply strong expertise in machine-learning, deep learning, NLP, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services 

Responsibilities 

• Lead data mining and collection procedures 
• Ensure data quality and integrity 
• Interpret and analyze data problems 
• Conceive, plan and prioritize data projects 
• Build analytic systems and predictive models 
• Test performance of data-driven products 
• Visualize data and create reports 
• Align data projects with organizational goal 
• Understands business problems and designs end-to-end analytics use cases 
• Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., 
• Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance 
• Collaborates with model developers to implement and deploy scalable solutions 
• Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders 

Qualification & Other Attributes: 

• 8-15 years’ experience in a statistical and/or data science role 
• Proven experience as a Data Scientist or similar role 
• Strong organizational and leadership skills 
• Degree in Computer Science, Data Science, Mathematics, or similar field 
• Deep knowledge and experience in Large Language Models (LLM) 
• Strong knowledge on Generative AI 
• Deep knowledge of machine learning, statistics, optimization or related field 
• Experience in Linear and non-Linear Regression models including Multiple and Multivariate 
• Experience in Classification models including Ensemble techniques 
• Experience in Unsupervised models including K-Means, DBSCAN, LOF 
• Rich Experience in NLP techniques 
• Experience in Deep Learning techniques like CNN, RNN, GAN, Markov etc (Any 3 or 4) 
• Strong real-time experience with atleast one of the machine language softwares like R, Python, Matlab is mandatory 
• Good knowledge in Explainable AI 
• Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) 
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams 
• Attitude to thrive in a fun, fast-paced start-up like environment 
• Additional advantage of having experience in semi, unstructured databases like MongoDB, Cassandra, ArangoDB, Couchbase, GraphDB, etc 
• Optional: programming in C, C++, Java, .Net